Data-driven Model for Long-term Prediction of Blood Glucose in Type 2 Diabetes.- Semantic of Automatically Generated Interval-valued Memberships Functions in Brain Magnetic Resonance Images.- Egfr Mutation Prediction Using F18-fdg Pet-ct Based Radiomics Features in Non-small Cell Lung Cancer.- Breast Cancer Risk Analysis Using Deep Learning on Multi-omics Data Combined with Epigenetic Factors.- Predicting Depression History from a Short Reward/Aversion Task with Behavioral Economic Features.- Machine Learning Algorithm for Epileptic Seizure Prediction from Scalp Eeg Records.- Evaluating the Social Media Users’ Mental Health Status During Covid-19 Pandemic Using Deep Learning.- A System Detection of Atrial Fibrillation Using One Ecg Derivation and Inductive Transfer Learning.- Interpretability and Explainability of Machine Learning Models: Achievements and Challenges.- Cardiovascular Risk Assessment: An Interpretable Machine Learning Approach.- Explainability: Actionable Information Extraction.- Analysis, Design and Development of a Digital Application Prototype for Cognitive Assessment and Training.- Voces – an Open Database of Child and Youth Vowels in Spanish for Research Purposes.- Rehastart: Cognitive Tele-rehabilitation Empowered by Vision Transformers.- Development of a Dashboard Analytics Platform for Dementia Caregivers to Understand Diagnostic Test Results.- Usability of the Peruvian National Death Informatics System Sinadef by Attention Levels.

This book covers current advances and challenges in biomedical and health informatics. It reports on the latest technologies and on strategies and concepts to implement them for medicine, health and education. Contributions deals with a range of topics, including artificial intelligence and precision medicine, e-health and training, medical devices and wearables, and medical imaging. Gathering the proceedings of the Fifth International Conference on Biomedical and Health Informatics (ICBHI 2022), held on November 24–26, 2022, in Concepción, Chile, this books provides academics and professionals with a timely snapshot of the digital transformation in the field of medicine.